Applied Artificial Intelligence: Computer Vision and Image Analysis
- Offered byFutureLearn
Applied Artificial Intelligence: Computer Vision and Image Analysis at FutureLearn Overview
Applied Artificial Intelligence: Computer Vision and Image Analysis
at FutureLearn
Duration | 4 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Credential | Certificate |
Applied Artificial Intelligence: Computer Vision and Image Analysis at FutureLearn Highlights
Applied Artificial Intelligence: Computer Vision and Image Analysis
at FutureLearn
- Duration 4 weeks
- Weekly study 5 hours
- Included in an ExpertTrack Course 4 of 4
Applied Artificial Intelligence: Computer Vision and Image Analysis at FutureLearn Course details
Applied Artificial Intelligence: Computer Vision and Image Analysis
at FutureLearn
Skills you will learn
More about this course
- This course is part of the Advanced and Applied AI on Microsoft Azure ExpertTrack, helping you develop AI and machine learning skills and prepare you for the relevant Microsoft microcredentials.
- When we look at an image, we are able to pick out meaning based on what we see. When computers are presented with an image, it will usually see nothing unless we use computer vision, a way to extract information and understand the visual world.
- During this course, you'll learn all about Image Analysis techniques and why computer vision is important in AI. You'll explore classical Image Analysis techniques such as Edge Detection, Watershed and Distance Transformation, as well as K-means clustering to increase your knowledge on this AI component.
- You'll learn the evolution of Image Analysis to understand the background of this field of AI.
- By the end of the course, you'll be able to compare classical and deep learning object classification techniques and apply them to modern AI technologies.
- You'll gain hands-on experience using OpenCV and the Microsoft Cognitive Toolkit to segment images into meaningful parts and further strengthen your knowledge of computer vision.
- In OpenCV, you'll learn how to implement classic Image Analysis algorithms and you'll also understand how to train a model to perform Semantic Segmentation using Transfer Learning and Microsoft ResNet. These are transferable skills you will use time and time again when dealing with computer vision in AI.
Applied Artificial Intelligence: Computer Vision and Image Analysis at FutureLearn Curriculum
Applied Artificial Intelligence: Computer Vision and Image Analysis
at FutureLearn
Introduction and The 5 Algorithms
About this Course
Image Processing, Application and Segmentation
Image Features and Classical Methods
Clustering and Region Growing
Wrap Up
Object Classification and Detection
Template Matches, Edges and Corners
Histogram of Orientated Gradients
Object Classification And Detection
Wrap Up
CNNs, Deep Learning & Deep Segmentation
Convolutional Neural Networks (CNN)
Deep Learning
Deep Segmentation
Wrap Up
FCN, Transfer Learning and Course Wrap Up
Fully Convolutional Approaches (FCNs)
Deep Segmenters & Transfer Learning
Final Assessment and Course Wrap Up
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